Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales using the last three years of data in the Excel file New Car Sales.

Please be sure your work is organized, legible, and your responses are substantive. You need to submit all details of your work including excel sheets used to arrive to the solution. It is not enough to attach your excel sheet. You MUST provide interpretation of results and describe conclusions.

Need work explained in detail in a word document and the excel attachment of the work.

7-12: Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales using the last three years of data in the Excel file New Car Sales. 



Tips for problem 7-12: This is a multiple regression problem based on monthly data. You will need to create dummy variables for the months to represent seasonality in the model.



Here is a video about the concept:



http://www.youtube.com/watch?v=H07l1zgM-cw



Here is part of what want to do:

Year	Month	Units	t	Feb	Mar	Apr	May	Jun	Jul	Aug	Sep	Oct	Nov	Dec
1	Jan	39,810	1	0	0	0	0	0	0	0	0	0	0	0
1	Feb	40,081	2	1	0	0	0	0	0	0	0	0	0	0
1	Mar	47,440	3	0	1	0	0	0	0	0	0	0	0	0
1	Apr	47,297	4	0	0	1	0	0	0	0	0	0	0	0
1	May	49,211	5	0	0	0	1	0	0	0	0	0	0	0

You will fill all entries for three years, then run regression in excl.



8-4:  If 30 samples of 100 items are tested for nonconformity, and 95 of the 3,000 items are defective, find the upper and lower control limits for a  p -chart.



Due on Day 7 of W4. Late work will receive 10% penalty for every week late! Use APA format when/where applicable.

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